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TensorFlow 1. GradientDescentOptimizer Explanation on Linear Regression Model

To understand how TensorFlow works, we may need to learn a little bit the backend theory of some basic features. In my thought, the most wanted to know is the GradientDescentOptimizer feature. The core method of the feature is minimize. You can see the method everywhere in TensorFlow code. First, let’s check the official document first. Here is the link for for GradientDescentOptimizer. Minimize, https://www.tensorflow.org/api_docs/python/tf/train/GradientDescentOptimizer , copied here for detail. Add operations to minimize loss by updating var_list This method simply combines calls compute_gradients() and apply_gradients(). If you want to process the gradient before applying them, call compute_gradients() and apply_gradients() explicitlyRead More

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